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DBMS > HBase vs. ITTIA vs. MonetDB vs. Newts vs. PouchDB

System Properties Comparison HBase vs. ITTIA vs. MonetDB vs. Newts vs. PouchDB

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonITTIA  Xexclude from comparisonMonetDB  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableEdge Time Series DBMS with Real-Time Stream ProcessingA relational database management system that stores data in columnsTime Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDB
Primary database modelWide column storeTime Series DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitehbase.apache.orgwww.ittia.comwww.monetdb.orgopennms.github.io/­newtspouchdb.com
Technical documentationhbase.apache.org/­book.htmlwww.monetdb.org/­Documentationgithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guides
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetITTIA L.L.C.MonetDB BVOpenNMS GroupApache Software Foundation
Initial release20082007200420142012
Current release2.3.4, January 20218.7Dec2023 (11.49), December 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++CJavaJavaScript
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-free, schema definition possibleFixed schemayesschema-freeschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnoyesyesnoyes infovia views
SQL infoSupport of SQLnoyesyes infoSQL 2003 with some extensionsnono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaJavaScript
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayesyes, in SQL, C, RnoView functions in JavaScript
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone infoSource-replica replication available in experimental statusselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)yesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACDatabase file passwordsfine grained access rights according to SQL-standardnono

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HBaseITTIAMonetDBNewtsPouchDB
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